arXiv Statistics @arxiv_stats@qoto.org

Tree-aggregated regression for compositional data with measurement errors https://arxiv.org/abs/2605.15469 #stat.ME

Improving the Efficiency of Subgroup Analysis in Randomized Controlled Trials with TMLE https://arxiv.org/abs/2605.15483 #stat.ME #stat.ML

Bounds on the Number of Modes of a Gaussian Mixture Density https://arxiv.org/abs/2605.15531 #math.ST #math.CO #stat.TH

Structural and Lagrangian properties of analogue ensembles to characterize multifractality of stochastic processes https://arxiv.org/abs/2605.08155 #physics.data-an #physics.flu-dyn #stat.AP #math.PR

Decentralized Conformal Novelty Detection via Quantized Model Exchange https://arxiv.org/abs/2605.08263 #stat.ML #eess.SP #math.IT #stat.ME #cs.IT #cs.LG

Quantifying Exposure Information Uncertainty in Regional Risk Assessment https://arxiv.org/abs/2605.08272 #stat.AP

Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks https://arxiv.org/abs/2605.08379 #stat.AP #cs.LG

Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular https://arxiv.org/abs/2605.08395 #stat.ME #stat.AP

On Observation Time for Recovering Latent Hawkes Networks https://arxiv.org/abs/2605.08400 #math.ST #math.IT #stat.ML #stat.TH #cs.IT #cs.LG

Rolling-Origin Conformal Prediction under Local Stationarity and Weak Dependence https://arxiv.org/abs/2605.08422 #stat.ME #econ.EM #stat.CO

Active Multiple-Prediction-Powered Inference https://arxiv.org/abs/2605.08429 #stat.ML #stat.ME #cs.LG

Asymptotics for likelihood ratio tests of boundary points with singular information and unidentifiable nuisance parameters https://arxiv.org/abs/2605.08471 #math.ST #stat.TH

Sinkhorn Treatment Effects: A Causal Optimal Transport Measure https://arxiv.org/abs/2605.08485 #stat.ML #math.ST #stat.ME #stat.TH #cs.LG

Bayesian Modeling and Prediction of Generalized Contact Matrices https://arxiv.org/abs/2605.06742 #stat.ME #stat.AP

A Statistical Framework for Algorithmic Collective Action with Multiple Collectives https://arxiv.org/abs/2605.06749 #stat.ME #cs.AI

Modeling Dynamic Correlation Matrices with Shrinkage Priors https://arxiv.org/abs/2605.06818 #q-fin.ST #stat.ME

How Does Attention Help? Insights from Random Matrices on Signal Recovery from Sequence Models https://arxiv.org/abs/2605.06826 #stat.ML #math.IT #math.SP #cs.IT

Nonlinear Amplification of Finite-Sample Uncertainty in Capability-Based Decisions https://arxiv.org/abs/2605.06843 #stat.AP #stat.ME

Convergence Rates for Latent Mixing Measures in Infinite Homoscedastic Location-Scale Mixture Models https://arxiv.org/abs/2605.06845 #math.ST #stat.TH

Nonparametric estimation of time-varying network connections by multi-stage smoothing https://arxiv.org/abs/2605.06862 #stat.ME #stat.ML